Bayesian statistics in action : BAYSM 2016, Florence, Italy, June 19-21 /: BAYSM 2016, Florence, Italy, June 19-21. (2017)
- Record Type:
- Book
- Title:
- Bayesian statistics in action : BAYSM 2016, Florence, Italy, June 19-21 /: BAYSM 2016, Florence, Italy, June 19-21. (2017)
- Main Title:
- Bayesian statistics in action : BAYSM 2016, Florence, Italy, June 19-21
- Other Titles:
- BAYSM 2016
- Further Information:
- Note: Raffaele Argiento, Ettore Lanzarone, Isadora Antoniano Villalobos, Alessandra Mattei, editors.
- Editors:
- Argiento, Raffaele
Lanzarone, Ettore
Villalobos, Isadora Antoniano
Mattei, Alessandra - Other Names:
- Bayesian Young Statisticians Meeting, 3rd
- Contents:
- Preface; Contents; Part I Theory and Methods; Sequential Monte Carlo Methods in Random Intercept Models for Longitudinal Data; 1 Introduction; 2 Bayesian Random Intercept Model; 3 Sequential Monte Carlo Methods; 4 Application; 5 Conclusions; References; On the Truncation Error of a Superposed Gamma Process; 1 Introduction; 2 Sampling Completely Random Measures; 2.1 Completely Random Measures; 2.2 Ferguson and Klass Algorithm; 3 Truncation Error of the Superposed Gamma Process; 3.1 Bound in Probability; 3.2 Moment-Matching Criterion; References. On the Study of Two Models for Integer-Valued High-Frequency Data1 Introduction; 2 Distributions for Tick Data; 2.1 Skellam Distribution; 2.2 Folded Geometric Distribution; 3 Algorithms; 4 Application; 5 Discussion; References; Identification and Estimation of Principal Causal Effects in Randomized Experiments with Treatment Switching; 1 Introduction; 2 Principal Stratification Approach to Treatment Switching; 3 Identification Assumptions; 4 Partially Simulated Case Study; 4.1 Estimation Strategy; 4.2 Results and Comments; References; A Bayesian Joint Dispersion Model with Flexible Links. 1 Introduction2 Model Specification; 2.1 Longitudinal Mixed Dispersion Model; 2.2 Hazard Model with Time-Varying Coefficients; 3 The Posterior Distribution; 4 HIV/AIDS Data Analysis; 4.1 Fitted Models; 4.2 Results; 5 Discussion; References; Local Posterior Concentration Rate for Multilevel Sparse Sequences; 1 Introduction; 2 Preliminaries; 2.1Preface; Contents; Part I Theory and Methods; Sequential Monte Carlo Methods in Random Intercept Models for Longitudinal Data; 1 Introduction; 2 Bayesian Random Intercept Model; 3 Sequential Monte Carlo Methods; 4 Application; 5 Conclusions; References; On the Truncation Error of a Superposed Gamma Process; 1 Introduction; 2 Sampling Completely Random Measures; 2.1 Completely Random Measures; 2.2 Ferguson and Klass Algorithm; 3 Truncation Error of the Superposed Gamma Process; 3.1 Bound in Probability; 3.2 Moment-Matching Criterion; References. On the Study of Two Models for Integer-Valued High-Frequency Data1 Introduction; 2 Distributions for Tick Data; 2.1 Skellam Distribution; 2.2 Folded Geometric Distribution; 3 Algorithms; 4 Application; 5 Discussion; References; Identification and Estimation of Principal Causal Effects in Randomized Experiments with Treatment Switching; 1 Introduction; 2 Principal Stratification Approach to Treatment Switching; 3 Identification Assumptions; 4 Partially Simulated Case Study; 4.1 Estimation Strategy; 4.2 Results and Comments; References; A Bayesian Joint Dispersion Model with Flexible Links. 1 Introduction2 Model Specification; 2.1 Longitudinal Mixed Dispersion Model; 2.2 Hazard Model with Time-Varying Coefficients; 3 The Posterior Distribution; 4 HIV/AIDS Data Analysis; 4.1 Fitted Models; 4.2 Results; 5 Discussion; References; Local Posterior Concentration Rate for Multilevel Sparse Sequences; 1 Introduction; 2 Preliminaries; 2.1 Notation; 2.2 Empirical Bayes Posterior; 3 Main Results; References; Likelihood Tempering in Dynamic Model Averaging; 1 Introduction; 2 On-Line Prediction with a Set of Admissible Models; 2.1 Dynamic Model Averaging; 3 Tempered Bayesian Update. 4 Mixture-Based Approach5 Simulation Results; 6 Conclusion; References; Localization in High-Dimensional Monte Carlo Filtering; 1 Introduction; 2 Ensemble Filtering Algorithms; 3 Local Algorithms; 4 Simulation Studies; 4.1 Conjugate Normal Setup; 4.2 Filtering with the Lorenz96 Model; 5 Conclusion; References; Linear Inverse Problem with Range Prior on Correlations and Its Variational Bayes Inference; 1 Introduction; 2 Mathematical Method; 2.1 Bayesian Hierarchical Model; 3 Experiments; 3.1 Toy Example; 3.2 Realistic Example; 4 Conclusion; References; Part II Applications and Case Studies. Bayesian Hierarchical Model for Assessment of Climate Model Biases1 Introduction; 2 Bayesian Hierarchical Approach for Climate Model Biases; 3 Application to Temperature Bias in the Tropical Atlantic Region; 3.1 Choice of Weighting Functions; 3.2 Results; 4 Conclusions; References; An Application of Bayesian Seemingly Unrelated Regression Models with Flexible Tails; 1 Introduction; 2 Bayesian SUR Model with Mod-t Distribution; 2.1 Mod-t Distribution; 2.2 SUR Model; 2.3 MCMC Algorithm; 3 Application; 3.1 Capital Asset Pricing Model (CAPM); 3.2 Results; 4 Conclusion; References. … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2017
- Extent:
- 1 online resource (ix, 251 pages), illustrations (some color)
- Subjects:
- 519.5/42
Statistics
Bayesian statistical decision theory -- Congresses
Neural networks (Computer science) -- Congresses
MATHEMATICS -- Applied
MATHEMATICS -- Probability & Statistics -- General
Bayesian statistical decision theory
Neural networks (Computer science)
Computers -- Mathematical & Statistical Software
Social Science -- Statistics
Business & Economics -- Statistics
Mathematical & statistical software
Social research & statistics
Probability & statistics
Mathematical statistics
Electronic books
Conference papers and proceedings - Languages:
- English
- ISBNs:
- 9783319540849
- Related ISBNs:
- 331954084X
9783319540832
3319540831 - Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed May 5, 2017).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.344445
- Ingest File:
- 01_296.xml